|Position Title||Postdoctoral Research Associate|
|Department||Carolina Population Center – 631100|
|Position Type||Postdoctoral Scholar|
|Salary Range||Dependent on Qualifications|
|If part-time, hours per week|
|Proposed Start Date|
|Estimated Duration of Appointment||12 Months|
|Posting Open Date||11/18/2019|
|Posting Close Date|
|Open Until Filled||Yes|
|Work Location||Chapel Hill, NC|
We are searching for a post-doctoral scholar trained in one or more of the following fields: population health, demography of aging, and neurocognitive sciences, with strong statistical training interested in interdisciplinary research on health using big data. The research will take place at the Carolina Population Center in close collaboration with a biodemographer and medical sociologist, Yang C. Yang, and a social epidemiologist, Allison Aiello, alongside a team of scholars, researchers, and doctoral students in public health, sociology, quantitative psychology, neurology, and biostatistics at both UNC and Duke University Medical Center. Our group uses a life course approach to social determinants of chronic diseases of aging and the underlying biological mechanisms. Our current NIA funded R01 project focuses on modeling age trajectories of cognitive decline and Alzheimer’s Disease (AD) related dementia and sex disparities, and interplay of social and biological pathways that generate and sustain AD disparities. A significant portion of the work will focus on the integration of five large-scale NIH longitudinal cohort studies, testing of biomarkers of immune function, and statistical analyses. The work is highly innovative in research design and will have the potential for translational and policy impact for aging populations in the US and globally. Additionally, there will be ample opportunities for connecting with a wider network of scholars and career development. The initial term of appointment is one year, reappointment for a 2nd and 3rd year is likely depending on contributions to the progress of the project. Either Drs. Y.C. Yang or A. Aiello can be directly contacted via email if desired.
A PhD or equivalent in sociology (health, aging and the life course), epidemiology, demography, neuropsychology, biopsychology, or related discipline with strong quantitative training.
|Qualifications and Experience||
We are seeking a productive, self-driven, and collaborative scholar with a strong background in health and aging, statistical modeling, and an interest and some experience in interdisciplinary research.
Experience with population health research, large data-sets, SAS / STATA desired.
Experience with cognition and neurodegenerative conditions, sex differences, and biomarkers of immune, metabolic, and other physiological functions is highly preferred.
|Equal Opportunity Employer||
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.
Applicants must attach their curriculum vitae, a publication or dissertation / thesis paper, cover letter summarizing qualifications, and a list of 3 references.
For information on UNC Postdoctoral Benefits and Services click here
|Special Physical and Mental Requirements|
|Department Contact Name and Title||Dawn Andres, HR Specialist|
|Department Contact Telephone or Emailfirstname.lastname@example.org|
|Postdoctoral Affairs Contact Information||
If you experience any problems accessing the system or have questions about the application process, please contact the University’s Equal Employment Opportunity office at (919)-962-1091 or send an email to email@example.com.
Please note: The Equal Employment Opportunity office will not be able to provide specific updates regarding position or application status.
- Curriculum Vitae / Resume
- Cover Letter
- List of References
- Writing/research Sample
Required fields are indicated with an asterisk (*).